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Mathematical Problems in Engineering
Volume 2015 (2015), Article ID 628259, 9 pages
Research Article

A Branch and Bound Algorithm for Project Scheduling Problem with Spatial Resource Constraints

1School of Economics and Management, Harbin Institute of Technology, Weihai 264209, China
2Department of Mathematics, Harbin Institute of Technology, Weihai 264209, China
3School of Software, Sun Yat-sen University, Guangzhou 510275, China

Received 1 September 2014; Accepted 28 September 2014

Academic Editor: Yunqiang Yin

Copyright © 2015 Shicheng Hu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


With respect to the block assembly schedule in a shipbuilding enterprise, a spatial resource constrained project scheduling problem (SRCPSP) is proposed, which aims to minimize the makespan of a project under the constraints of the availability of a two-dimensional spatial resource and the precedence relationship between tasks. In order to solve SRCPSP to the optimum, a branch and bound algorithm (BB) is developed. For the BB-SRCPSP, first, an implicitly enumerative branch scheme is presented. Secondly, a precedence based lower bound, as well as an effective dominance rule, is employed for pruning. Next, a heuristic based algorithm is used to decide the order of a node to be selected for expansion such that the efficiency of the algorithm is further improved. In addition, a maximal space based arrangement is applied to the configuration of the areas required each day in an available area. Finally, the simulation experiment is conducted to illustrate the effectiveness of the BB-SRCPSP.